Probabilistic representation of gene regulatory networks | Zendy

Linyong Mao | Zendy; Haluk Resat | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Probabilistic representation of gene regulatory networks

Author(s) -

Linyong Mao,

Haluk Resat

Publication year - 2004

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bth236

Subject(s) - representation (politics) , probabilistic logic , gene regulatory network , computer science , systems biology , biological network , gene , regulation of gene expression , computational biology , simple (philosophy) , expression (computer science) , software , simplicity , gene expression , biology , artificial intelligence , genetics , philosophy , epistemology , politics , political science , law , programming language

Recent experiments have established unambiguously that biological systems can have significant cell-to-cell variations in gene expression levels even in isogenic populations. Computational approaches to studying gene expression in cellular systems should capture such biological variations for a more realistic representation.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research